running python experiments/evaluation/optim.py. I got segmentation fault as follows:

Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off] .../site-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead. f"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, " .../site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing weights=AlexNet_Weights.IMAGENET1K_V1. You can also use weights=AlexNet_Weights.DEFAULT to get the most up-to-date weights. warnings.warn(msg) Loading model from: .../python3.7/site-packages/lpips/weights/v0.1/alex.pth [KeOps] Compiling cuda jit compiler engine ... OK [pyKeOps] Compiling nvrtc binder for python ... OK no texture save .../python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1656352464346/work/aten/src/ATen/native/TensorShape.cpp:2894.) return _VF.meshgrid(tensors, *kwargs) # type: ignore[attr-defined] no texture save 0%| | 0/1000 [00:00<?, ?it/s][KeOps] Generating code for formula Max_SumShiftExpWeight_Reduction(Concat(Var(2,1,1)-Var(3,1,2)(((Var(0,5,0)-Var(1,5,1))|(Var(0,5,0)-Var(1,5,1)))/2),1),0) ... Segmentation fault (core dumped)

Here is my conda list shows:

Name Version Build Channel

_libgcc_mutex 0.1 main defaults _openmp_mutex 5.1 1_gnu defaults absl-py 2.0.0 pypi_0 pypi blas 1.0 mkl defaults brotlipy 0.7.0 py38h27cfd23_1003 defaults bzip2 1.0.8 h7b6447c_0 defaults ca-certificates 2023.08.22 h06a4308_0 defaults cachetools 5.3.1 pypi_0 pypi certifi 2023.7.22 py38h06a4308_0 defaults cffi 1.15.1 py38h5eee18b_3 defaults charset-normalizer 2.0.4 pyhd3eb1b0_0 defaults colorama 0.4.6 pyhd8ed1ab_0 conda-forge contourpy 1.1.1 pypi_0 pypi cryptography 41.0.3 py38hdda0065_0 defaults cudatoolkit 11.3.1 h2bc3f7f_2 defaults cycler 0.12.1 pypi_0 pypi ffmpeg 4.3 hf484d3e_0 pytorch fonttools 4.43.1 pypi_0 pypi freetype 2.12.1 h4a9f257_0 defaults fvcore 0.1.5.post20210915 py38 fvcore geomloss 0.2.6 pypi_0 pypi giflib 5.2.1 h5eee18b_3 defaults gmp 6.2.1 h295c915_3 defaults gnutls 3.6.15 he1e5248_0 defaults google-auth 2.23.3 pypi_0 pypi google-auth-oauthlib 1.0.0 pypi_0 pypi grpcio 1.59.0 pypi_0 pypi idna 3.4 py38h06a4308_0 defaults ignite 0.4.13 py_0 pytorch imageio 2.31.5 pypi_0 pypi importlib-metadata 6.8.0 pypi_0 pypi importlib-resources 6.1.0 pypi_0 pypi intel-openmp 2023.1.0 hdb19cb5_46305 defaults iopath 0.1.9 py38 iopath jpeg 9e h5eee18b_1 defaults keopscore 2.1.2 pypi_0 pypi kiwisolver 1.4.5 pypi_0 pypi lame 3.100 h7b6447c_0 defaults lcms2 2.12 h3be6417_0 defaults ld_impl_linux-64 2.38 h1181459_1 defaults lerc 3.0 h295c915_0 defaults libdeflate 1.17 h5eee18b_1 defaults libffi 3.4.4 h6a678d5_0 defaults libgcc-ng 11.2.0 h1234567_1 defaults libgomp 11.2.0 h1234567_1 defaults libiconv 1.16 h7f8727e_2 defaults libidn2 2.3.4 h5eee18b_0 defaults libpng 1.6.39 h5eee18b_0 defaults libstdcxx-ng 11.2.0 h1234567_1 defaults libtasn1 4.19.0 h5eee18b_0 defaults libtiff 4.5.1 h6a678d5_0 defaults libunistring 0.9.10 h27cfd23_0 defaults libwebp 1.3.2 h11a3e52_0 defaults libwebp-base 1.3.2 h5eee18b_0 defaults lpips 0.1.4 pypi_0 pypi lz4-c 1.9.4 h6a678d5_0 defaults markdown 3.5 pypi_0 pypi markupsafe 2.1.3 pypi_0 pypi matplotlib 3.7.3 pypi_0 pypi mkl 2023.1.0 h213fc3f_46343 defaults mkl-service 2.4.0 py38h5eee18b_1 defaults mkl_fft 1.3.8 py38h5eee18b_0 defaults mkl_random 1.2.4 py38hdb19cb5_0 defaults ncurses 6.4 h6a678d5_0 defaults nettle 3.7.3 hbbd107a_1 defaults ninja 1.11.1.1 pypi_0 pypi numpy 1.24.3 py38hf6e8229_1 defaults numpy-base 1.24.3 py38h060ed82_1 defaults nvdiffrast 0.3.1 pypi_0 pypi nvidiacub 1.10.0 0 bottler oauthlib 3.2.2 pypi_0 pypi opencv-python 4.8.1.78 pypi_0 pypi openh264 2.1.1 h4ff587b_0 defaults openjpeg 2.4.0 h3ad879b_0 defaults openssl 3.0.11 h7f8727e_2 defaults packaging 23.2 pypi_0 pypi pillow 10.0.1 py38ha6cbd5a_0 defaults pip 23.3 py38h06a4308_0 defaults portalocker 1.4.0 py_0 conda-forge protobuf 4.24.4 pypi_0 pypi pyasn1 0.5.0 pypi_0 pypi pyasn1-modules 0.3.0 pypi_0 pypi pybind11 2.11.1 pypi_0 pypi pycparser 2.21 pyhd3eb1b0_0 defaults pyglm 2.7.0 pypi_0 pypi pykeops 2.1.2 pypi_0 pypi pyopenssl 23.2.0 py38h06a4308_0 defaults pyparsing 3.1.1 pypi_0 pypi pysocks 1.7.1 py38h06a4308_0 defaults python 3.8.18 h955ad1f_0 defaults python-dateutil 2.8.2 pypi_0 pypi pytorch 1.12.0 py3.8_cuda11.3_cudnn8.3.2_0 pytorch pytorch-mutex 1.0 cuda pytorch pytorch3d 0.7.0 pypi_0 pypi pyyaml 5.1.2 py38h516909a_1 conda-forge readline 8.2 h5eee18b_0 defaults requests 2.31.0 py38h06a4308_0 defaults requests-oauthlib 1.3.1 pypi_0 pypi rsa 4.9 pypi_0 pypi scipy 1.10.1 pypi_0 pypi setuptools 68.0.0 py38h06a4308_0 defaults six 1.16.0 pypi_0 pypi sqlite 3.41.2 h5eee18b_0 defaults tabulate 0.9.0 pyhd8ed1ab_1 conda-forge tbb 2021.8.0 hdb19cb5_0 defaults tensorboard 2.14.0 pypi_0 pypi tensorboard-data-server 0.7.1 pypi_0 pypi termcolor 2.3.0 pyhd8ed1ab_0 conda-forge tk 8.6.12 h1ccaba5_0 defaults torchaudio 0.12.0 py38_cu113 pytorch torchvision 0.13.0 py38_cu113 pytorch tqdm 4.66.1 pyhd8ed1ab_0 conda-forge typing_extensions 4.7.1 py38h06a4308_0 defaults urllib3 1.26.16 py38h06a4308_0 defaults werkzeug 3.0.0 pypi_0 pypi wheel 0.41.2 py38h06a4308_0 defaults xmltodict 0.13.0 pypi_0 pypi xz 5.4.2 h5eee18b_0 defaults yacs 0.1.8 pyhd8ed1ab_0 conda-forge yaml 0.2.5 h7f98852_2 conda-forge zipp 3.17.0 pypi_0 pypi zlib 1.2.13 h5eee18b_0 defaults zstd 1.5.5 hc292b87_0 defaults

jkxing / DROT

Segmentation fault #4

Name Version Build Channel